Pengxia Wang

980 citations
34 papers · 649 · h-index 15

Impact in

Papers in

    • Insect Resistance and Genetics 7
    • Genomics and Phylogenetic Studies 5
    • Bacterial biofilms and quorum sensing 4
    • Bacterial Genetics and Biotechnology 10

Pengxia Wang

34 papers receiving 644 citations

Peers

Pengxia Wang
Comparison fields: 5 of 78
  • Molecular Medicine 111
  • Endocrinology 114
  • Insect Science 116
  • Ecology 185
  • Molecular Biology 377
Replace Lucas A. Meirelles with:
Lucas A. Meirelles United States
Mireille Kallassy Lebanon
Francisco Javier Marcos‐Torres Spain
Min‐Young Choi South Korea
Gary E. Heussler United States
Or Rotem Israel
Sharik R. Khan United States
Nuno M. Oliveira United Kingdom
Boris Fedorov United States
Pengxia Wang relative to Lucas A. Meirelles United States Lucas A. Meirelles's profile →
Citations per field
00.5×3.4×
Lucas A. Meirelles · 1×
Citations per year

Countries citing papers authored by Pengxia Wang

Since Specialization
Citations

This map shows the geographic impact of Pengxia Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pengxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxia Wang more than expected).

Fields of papers citing papers by Pengxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengxia Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pengxia Wang. The network helps show where Pengxia Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Pengxia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pengxia Wang Line = papers co-authored together Pengxia Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 201964
3 202053
4 201548
5 201739
6 201838
7 201838
8 201327
9 201125
10 201724
11 201322
12 201720
13 201518
14 201117
15 201617
16 201714
17 202114
18 202012
19 202211
20 20169

About Pengxia Wang

Pengxia Wang is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Molecular Medicine, having authored 34 papers that have together received 649 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Insect Resistance and Genetics (7 papers), Microbial Community Ecology and Physiology (6 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (5 papers), Vibrio bacteria research studies (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Medicine (111 citations), Endocrinology (114 citations), Insect Science (116 citations), Ecology (185 citations) and Molecular Biology (377 citations). Pengxia Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaoxue Wang, Baiyuan Li, Yunxue Guo, Zhenshun Zeng, Weiquan Wang, Donghai Peng, Kaihao Tang, Suxia Guo, Xiaoxiao Liu and Ming Sun. Their work appears in journals such as Frontiers in Microbiology, Environmental Microbiology, Microbial Biotechnology, Journal of Biotechnology and Journal of Basic Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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